Discrete Event Simulation Combined with Multiple Criteria Decision Analysis as a Decision Support Methodology in Complex Logistics Systems

SYNOPSIS Operational mine planning is a fundamental activity in mine operations and should take into account various characteristics of the material, the available mining faces, the requirements of discharge points, and production hiatuses due to reduced equipment operational efficiency, in order to efficiently allocate shovels and trucks and deliver the required tonnage and quality to the proper destinations. This paper presents an approach for optimizing short-term day-to-day mining operations using simulation. A mathematical model based on integer linear programming is developed. The solution is obtained through two different software packages using discrete event simulation (Arena) and a mathematical optimization model (Lingo). The two integrated models search an efficient solution to optimize a set of criteria by applying goal programming to hierarchically optimize five objective functions in a logical priority order under the operator's standpoint and by simulating mining operations and unproductive events to evaluate how closely the optimized results are actually achieved. The integrated models are applied to a real large-scale iron ore mine in southeastern Brazil. A decision support system (DSS) prototype that meets the production requirements is also applied. The results show that an increase in the available loading equipment will not result necessarily in increased production, as expected. The models show satisfactory results and applicability to real and complex mining situations, and the formulation allows for easy adaptation to other mine situations. Keywords: discrete event simulation, optimization, decision support system, mine planning, linear programming.

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Decision Analysis Model for Optimal Aircraft Engine Maintenance Policies Using Discrete Event Simulation

Integrated Systems: Innovations and Applications ◽

10.1007/978-3-319-15898-3_5 ◽

2015 ◽

pp. 69-87 ◽

Cited By ~ 4

Author(s):

Behnam Razavi ◽

Atefeh Einafshar ◽

Farrokh Sassani

Keyword(s):

Decision Analysis ◽

Discrete Event Simulation ◽

Discrete Event ◽

Aircraft Engine ◽

Decision Analysis Model ◽

Analysis Model ◽

Event Simulation ◽

Maintenance Policies ◽

Engine Maintenance

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Success Surrogates in Representational Decision Support Systems

Encyclopedia of Information Science and Technology, First Edition ◽

10.4018/978-1-59140-553-5.ch475 ◽

2005 ◽

pp. 2672-2677

Author(s):

Roger McHaney

Keyword(s):

Decision Support ◽

Decision Support System ◽

Software Development ◽

Discrete Event Simulation ◽

Support System ◽

Support Systems ◽

Discrete Event ◽

Event Simulation ◽

Business Environments ◽

New Software Development

Rapid and frequent organizational change has been a hallmark of business environments in the past two decades. Frequently, technology and new software development are embraced as aspects of complex strategies and tactical plans. Without sufficient analysis, the unforeseen consequences of change can result in unexpected disruptions and the loss of productivity. In order to better control these contingencies, modern managers often employ a variety of decision support aids. One such aid, classified as a representational decision support system, is discrete event simulation (DES).

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